VirtualBox - virtual mashinalarni yaratish uchun bepul dastur,
Virtuallashtirish- kompyuter resurslarini birgalikda ishlatili-shini taʻminlaydigan usul
Virtuallik - atamasi lotincha «virtualis» so‘zidan olingan bo‘lib, «muayyan bir sharoitlarda sodir bo‘ladigan yoki ro‘y berishi mumkin bo‘lgan», yoki mavjud
bo‘lmagan, lekin amalga oshish ehtimoli mavjud bo‘lgan jarayon kabi maʻnolarni anglatadi.
Virtual laboratoriya – o‘rganilayotgan haqiqiy ob’ektlarda bo‘layotgan jarayonlarni kompyuter imitatsiyasi orqali taqdim etish va masofaviy kirish imkoniyatiga ega bo‘lgan dasturiy majmua.
Virtual auditoriya – o‘quv jarayonining o‘qituvchisi va boshqaruvchisining maslahatini olish uchun tarmoq texnologiyasi yordamida turli geografik joylarda yashayotgan talabalarni birlashtirish.
Xizmat sifatida infratuzilma- keng qamrovdagi korxonalar uchun korparativ yechim. Infratuzilma ma’lumotlarga ishlov berish markazida, ham va tashqi ma’lumotlar markazida joylashtirilgan bo‘lishi mumkin.
Xususiy bulut - infratuzilma bulutli hisoblashni tadbiq etishda yagona tashkilot doirasida foydalaniladi.
211
FOYDALANILGAN ADABIYOTLAR RO‘YXATI
2017 – 2021 yillarda O‘zbekiston Respublikasini rivojlantirishning beshta ustuvor yo‘nalishi bo‘yicha Harakatlar stratgeiyasi // O‘zbekiston Respublikasi Qonun hujjatlari to‘plami. – Toshkent, 2017. – B.38
O‘zbekiston Respublikasi Prezidentining 2019 yil 8 oktyabrdagi PF-5847-son Farmoni // O‘zbekiston Respublikasi oliy ta'lim tizimini 2030 yilgacha rivojlantirish konsepsiyasi. – 2019
O‘zbekiston Respublikasi Prezidentining «Axborot – kommunikatsiya texnologiyalarini yanada rivojlantirishga oid qo‘shimcha chora tadbirlar to‘g‘risida»gi qarori. 19.02.2018y. №Pq-5349
O‘zbekiston Respublikasining birinchi Prezidentining 2015-yil 6-martdagi
“2015-2019 yillarda yo‘l-transport infratuzilmasini va muxandislik kommunikatsiyalarini modernizatsiya qilish va rivojlantirish dasturi to‘g‘risida” dagi PQ-2313 son Qarori
5. Sh.M.Mirziyoyev Erkin va Farovon demokratik O‘zbekiston davlatini birgalikda barpo etamiz.Toshkent: “O‘zbekiston”, 2016
Sh.M.Mirziyoyev Tanqidiy tahlil qat’iy tartib-intizom va shaxsiy javobgarlik har bir rahbar faoliyatining kundalik qoidasi bo‘lishi kerak. Toshkent:
“O‘zbekiston“, 201
7. .Nishonbiyev, Serverga yo‘naltirilgan arxitektura, o‘quv qo‘llanma, Toshkent 2015, 246 b.
Michael Moore, Greg Kearsley “Distance Education a systems view” 2005.
Timothy K. Shih, Jason C. Hung “Fiture direktions in distance learning and communication texnologies” 2007. Taiwan, USA
Zhang and Li Xiao-ping, A content based dynamic load-balancing
algorithm for heterogeneous Web server cluster // ComSIS. 2010. V. 7. №1. Special Issue [электронный ресурс]: http://www.comsis.org/archive.php?
212
Хританков А.С. Модели и алгоритмы распределения нагрузки.
Модель коллектива вычислителей. Модели с соперником // Информационные технологии и вычислительные системы. 2009. № 2. С. 65–80.
Randles, M., Lamb, D. and Taleb-Bendiab, A., “A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing”, 24th International
Conference on Advanced Information Networking and Applications Workshops, 551-556, 2010.
Zhang Z. and Zhang X., “A Load Balancing Mechanism Based on Ant
Colony and Complex Network Theory in Open Cloud Computing Federation”, Proceeding of 2 nd International Conference on Industrial Mechatronics and Automation (ICIMA), 240-243, May, 2010.
14. Lua Y., Xiea Q., Kliotb G., Gellerb A., Larusb J.R. and Greenber A., “Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web wervices”, accepted in International Journal on Performance Evaluation, in press, 3rd August, 2011.
Б.З.Абдухалилов, Cloud computing: преимущества и недостатки,
темпы развития на мировом уровне и в узбекистане, Профессор-ўқитувчи ва илмий тадқиқотчиларнинг даврий мақолалар тўплами. ТАТУ, Тошкент. 2017.
Н.Б. Усманова, Г.М. Жамолова, Телекоммуникация тармоқларида
QoS ни таъминлаш механизмларига оид, Профессор-ўқитувчи ва илмий тадқиқодчиларнинг даврий мақолалар тўплами. ТАТУ, Тошкент. 2017.
Damián Serrano, Sara Bouchenak, Yousri Kouki, Thomas Ledoux, Jonathan Lejeune, Julien Sopena, Luciana Arantes, and Pierre Sens. Towards QoS-Oriented SLA Guarantees for Online Cloud Services. In The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013), Delft, Netherlands, pages 50-57, May 2013.
S. Islam, K. Lee, A. Fekete, A. Liu, How a consumer can measure
elasticity for cloud platforms, in: Proceedings of the 3rd Joint WOSP/SIPEW
213
International Conference on Performance Engineering, ICPE ‘12, Boston, Massachusetts, USA, 2012, pp. 85–96.
Gustedt, J. Experimental methodologies for large-scale systems: a survey
J. Gustedt, E. Jeannot, M. Quinson // Parallel Process. Lett. — World Scientific, 2009.
— Vol. 19. — P. 399-418.
Bolze, R. Grid’5000: A Large Scale And Highly Reconfigurable
Experimental Grid Testbed / R. Bolze, F. Cappello, E. Caron, M. Dayde, F. Desprez et al. / / Int. J. High Perform. Comput. Appl. — USA: Sage Publications, 2006. — Vol.
— P. 481-494.
Chun, B. Planetlab: an overlay testbed for broad-coverage services / B. Chun, D. Culler, T. Roscoe//ACM SIGCOMM. — USA: ACM, 2003. — Vol. 33. —
P. 3-12.
Song, H.J. The MicroGrid: A Scientific Tool for Modeling Computational Grids / H.J. Song // Proc. IEEE Supercomput. — USA: IEEE, 2000. — P. 4-10.
Корсуков, А.С. Инструментальные средства полунатурного моделирования распределенных вычислительных систем /А.С. Корсуков // Современные технологии. Системный анализ. Моделирование. — Россия: Иркутский государственный университет путей сообщения, 2011. — Т. 3. — C. 105-110.
Endo, T. Linpack evaluation on a supercomputer with heterogeneous accelerators / T. Endo // Parallel & Distrib. Process. (IPDPS), 2010 IEEE Int. Symp. —
USA: IEEE, 2010. — P. 1-8.
25. Bailey, D.H. NAS parallel benchmark results / D.H. Bailey / / Proc.
Supercomput. ‘92. USA: IEEE, 1992. — P. 1-13.
Buyya, R. GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing / R. Buyya, M. Murshed / / Concurr. Comput. Pract. Exp. — USA: Wiley, 2002. — Vol. 14. — № 13-
— P. 1175-1220.
214
Quinson, M. SimGrid: a generic framework for large-scale distributed experiments / M. Quinson // 2009 IEEE Ninth Int. Conf. Peer-to-Peer Comput. — USA: IEEE, 2009. — P. 126-131.
Calheiros, R.N. CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services./ R.N. Calheiros. Eprint: Australia, 2009. — 9 p.
Buyya, R. Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities / R. Buyya, R. Ranjan, R.N. Calheiros // 2009 Int. Conf. High Perform. Comput. Simul. — USA: IEEE, 2009. — P. 1-11.
Fittkau, F. CDOSim: Simulating cloud deployment options for software migration support / F. Fittkau, S. Frey, W. Hasselbring // 2012 IEEE 6th Int. Work. Maint. Evol. Serv. Cloud-Based Syst. — USA: IEEE, 2012. — P. 37-46.
Jararweh, Y. TeachCloud: a cloud computing educational toolkit / Y. Jararweh et al. / / Int. J. Cloud Comput. 2012. — InderScience Publ., 2012. — Vol. 2.
— P. 237-257.
Nunez, A. iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator / A. Nunez // J. Grid Comput. 2012. — Germany: Springer, 2012. — Vol. 10. — P. 185209.
Sriram, I. SPECI, a Simulation Tool Exploring Cloud-Scale Data Centres / I. Sriram // Lect. Notes Comput. Sci. 2009. — Germany: Springer, 2009.- Vol. 5931.
— P. 381-392.
Keller, G. DCSim: A data centre simulation tool / G. Keller / / Integr. Netw. Manag. 2012. — USA: IEEE, 2012. — P. 1090-1091.
Имитационное моделирование с применением библиотеки классов языка Java, разработанной для «облачных» сервисов. А.Ю. Быков, Ф.А.
Панфилов, О.О. Сумарокова, МГТУ им. Н.Э. Баумана, Москва, 105005, Россия.
215
Internet saytlar
www.uztelekom.uz
www.nist.gov
https://ieeexplore.ieee.org
www.iopscience.iop.org
https://whatis.techtarget.com
https://cyberleninka.ru
216
MUNDARIJA
Dostları ilə paylaş: |